Uploaded August 2026 | Updated September 2026, 2 weeks ago
Don't miss out! Join us at our next KubeCon + CloudNativeCon events in Shanghai, China (8-9 September, 2026) and Salt Lake City, United States (Nov 9–12, 2026). Connect with our current graduated, incubating, and sandbox projects as the community gathers to further the education and advancement of cloud native computing. Learn more at kubecon.io
WG-Batch Updates: What’s New and What Is Next? - Michał Woźniak, Google & Yuki Iwai, Preferred Networks, Inc.
This session explores recent developments in the Kubernetes ecosystem designed to meet the growing demand for AI training and inference workloads.
First, we survey the landscape of ecosystem projects, highlighting recent enhancements to the core Kubernetes Job API - the foundational building block for these initiatives - alongside the latest updates to JobSet.
Second, we demonstrate Kueue’s capabilities as a robust AI/ML platform, showcasing how features like Multi-Cluster dispatching, Fair Sharing, and Topology-Aware Scheduling maximize hardware utilization across tenants.
Finally, we detail our collaboration with SIG Scheduling on "Workload-Aware Scheduling," which aims to deeply integrate batch semantics into the core scheduler.
Don't miss out! Join us at our next KubeCon + CloudNativeCon events in Shanghai, China (8-9 September, 2026) and Salt Lake City, United States (Nov 9–12, 2026). Connect with our current graduated, incubating, and sandbox projects as the community gathers to further the education and advancement of cloud native computing. Learn more at kubecon.io
WG-Batch Updates: What’s New and What Is Next? - Michał Woźniak, Google & Yuki Iwai, Preferred Networks, Inc.
This session explores recent developments in the Kubernetes ecosystem designed to meet the growing demand for AI training and inference workloads.
First, we survey the landscape of ecosystem projects, highlighting recent enhancements to the core Kubernetes Job API - the foundational building block for these initiatives - alongside the latest updates to JobSet.
Second, we demonstrate Kueue’s capabilities as a robust AI/ML platform, showcasing how features like Multi-Cluster dispatching, Fair Sharing, and Topology-Aware Scheduling maximize hardware utilization across tenants.
Finally, we detail our collaboration with SIG Scheduling on "Workload-Aware Scheduling," which aims to deeply integrate batch semantics into the core scheduler.
